scholarly journals Business rescue decision-making: Post-mortem evaluation of an ‘orgy’

2018 ◽  
Vol 21 (1) ◽  
Author(s):  
Marius Pretorius
Keyword(s):  
Decision Making ◽  
Evaluation Criteria ◽  
Evaluation Process ◽  
Management Control ◽  
Evaluation Framework ◽  
Post Mortem ◽  
Viability Analysis ◽  
Master Level ◽  
High Level

Background: Sensemaking of the extreme vagaries and external considerations that influence decision-making and judgement during business rescue events (BREs) are currently sparse but details about evaluation criteria are desperately needed.Aim: Learning from and applying post-mortem analysis (PMA) is investigated to propose an evaluation framework. Setting: Following the problems by and expectations of the Regulator to ‘govern’ the business rescue (BR) industry, a recent decision to decentralise the accreditation of business rescue practitioners (BRPs) changed the landscape significantly. Methods: From literature and interviews, the study identified seven interactive evaluation criteria from PMA thinking to be included in a conceptual framework. Results: Following the determination of the contextual difficulty evaluation, the measurement criteria included: taking management control, initial feasibility judgement, viability analysis, decision-making, BRP competencies, the rescue plan and compliance within the supreme task. One mediating factor, namely the BRP dominated. Secondly, the evaluation process can be costly to ensure validity of the data, collection and evaluators. Finally, BRE evaluators (executors/decision makers) require a high level understanding of contextual issues that may disproportionately influence an evaluation. Expert and master level competencies are required to inform the proper judgement of the evaluation criteria and variables. Conclusion: The study addresses educators’ need for a framework for PMA to guide the teaching of BRP competencies, direct the regulatory authorities (and professional bodies) accreditation framework for licensing BRPs, inform banks as creditors to enhance their information systems, advise upcoming BRPs on outcomes while courts may consider the framework as useful for judging issues.

Experiences of the First 16 Hospitals Using Copper-Silver Ionization forLegionellaControl: Implications for the Evaluation of Other Disinfection Modalities

2003 ◽  
Vol 24 (8) ◽  
pp. 563-568 ◽  
Author(s):  
Janet E. Stout ◽  
Victor L. Yu
Keyword(s):  
Decision Making ◽  
Evaluation Criteria ◽  
Evaluation Process ◽  
Water Systems ◽  
Evidence Based ◽  
Disinfection Methods ◽  
Legionnaires Disease ◽  
Hospital Acquired

AbstractBackground and Objectives:Hospital-acquired legionnaires' disease can be prevented by disinfection of hospital water systems. This study assessed the long-term efficacy of copper-silver ionization as a disinfection method in controllingLegionellain hospital water systems and reducing the incidence of hospital-acquired legionnaires' disease. A standardized, evidence-based approach to assist hospitals with decision making concerning the possible purchase of a disinfection system is presented.Design:The first 16 hospitals to install copper-silver ionization systems forLegionelladisinfection were surveyed. Surveys conducted in 1995 and 2000 documented the experiences of the hospitals with maintenance of the system, contamination of water withLegionella, and occurrence of hospital-acquired legionnaires' disease. All were acute care hospitals with a mean of 435 beds.Results:All 16 hospitals reported cases of hospital-acquired legionnaires' disease prior to installing the copper-silver ionization system. Seventy-five percent had previously attempted other disinfection methods including superheat and flush, ultraviolet light, and hyperchlorination. By 2000, the ionization systems had been operational from 5 to 11 years. Prior to installation, 47% of the hospitals reported that more than 30% of distal water sites yieldedLegionella. In 1995, after installation, 50% of the hospitals reported 0% positivity, and 43% still reported 0% in 2000. Moreover, no cases of hospital-acquired legionnaires' disease have occurred in any hospital since 1995.Conclusions:This study represents the final step in a proposed 4-step evaluation process of disinfection systems that includes (1) demonstrated efficacy ofLegionellaeradication in vitro using laboratory assays, (2) anecdotal experiences in preventing legionnaires' disease in individual hospitals, (3) controlled studies in individual hospitals, and (4) validation in confirmatory reports from multiple hospitals during a prolonged time (5 to 11 years in this study). Copper-silver ionization is now the only disinfection modality to have fulfilled all four evaluation criteria.

Evaluation of product development partners using an integrated AHP-VIKOR model

Kybernetes ◽  
2015 ◽  
Vol 44 (2) ◽  
pp. 220-237 ◽  
Author(s):  
Gülçin Büyüközkan ◽  
Ali Görener
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
Product Development ◽  
Evaluation Criteria ◽  
Partner Selection ◽  
Evaluation Framework ◽  
Selection Problem ◽  
Evaluation Procedure ◽  
Content Type ◽  
Criteria Weights

Purpose – Today, customers are generally perceived to be demanding higher quality and better performing products, in shorter and more predictable development cycle-times and at a lower cost. These market pressures drive firms to collaborate with possible partners in product development (PD) processes. However, the selection of a suitable partner for an effective PD is not an easy decision and is associated with complexity. The purpose of this paper is to propose an integrated multi-criteria decision-making (MCDM) approach to effectively evaluate PD partners. Design/methodology/approach – The proposed evaluation procedure consists of several steps. First, based on a literature review and expert validation, the strategic main and sub-criteria of the PD partner selection process that companies consider the most important are identified. After constructing the evaluation criteria hierarchy, the criteria weights are calculated by applying the Analytic Hierarchy Process (AHP) method. The VIKOR (a compromise ranking) method is used to obtain the final partner ranking results. A case study is given to demonstrate the potential of the methodology. In the last part of the study, a sensitivity analysis is performed to determine the influence of criteria weights on the decision making process. Findings – The PD partner evaluation model contains three main criteria, namely, partner, collaboration and PD-oriented criteria, with 13 sub-criteria. The market position, competency of the partner, compatibility, technical expertise and complementarity are found as the most considerable evaluation criteria for the ABC case company. Results of the sensitivity analysis from different cases demonstrate that the integrated AHP-VIKOR model is quite sensitive to the weights assigned to the evaluation criteria. This finding underlines the importance of forming a capable, qualified group of experts for the decision-making procedure. The results of the empirical study show that the proposed evaluation framework is practical for solving partner selection problems. Originality/value – Partner selection is critical to the success of a collaborative PD process. The main contribution of this paper is the definition and development of an effective evaluation framework to guide managers for suitable PD partner selection. In our knowledge, there exists no study in the literature that combines the established AHP VIKOR model for PD partner selection problem. This study can be useful to researchers to better understand PD partner selection problem theoretically, as well as to organizations in designing better satisfying PD partner evaluation systems.

PP17 Comprehensive Evaluation Of A Technology With Expanding Indications

2018 ◽  
Vol 34 (S1) ◽  
pp. 72-72
Author(s):  
Laurie Lambert ◽  
François Désy ◽  
Leila Azzi ◽  
Maria Vutcovici ◽  
Anabèle Brière ◽  
...  
Keyword(s):  
Decision Making ◽  
Clinical Decision Making ◽  
Evaluation Process ◽  
Field Evaluation ◽  
Quality Standards ◽  
Evaluation Framework ◽  
Risk Scores ◽  
Processes Of Care ◽  
National Quality ◽  
Cardiovascular Evaluation

Introduction:The use of transcatheter aortic valve implantation (TAVI) is evolving. Our Cardiovascular Evaluation Unit is implementing a comprehensive approach to inform decision-makers on optimal use of TAVI, including the development of quality standards. We are implementing a multifaceted evaluation framework in collaboration with clinical stakeholders.Methods:Our unit has carried out a continuous field evaluation in collaboration with the clinical teams at all six TAVI centers in Québec for the past four years (1 April 2013–31 March 2017), with regular feedback to the teams and sharing of results with each individual center. Hospital documentation was reviewed according to established national quality indicator definitions. Field evaluation data were combined with the results of systematic literature review to establish provincial standards for practice, through a deliberation process by an interdisciplinary committee of clinical experts from each center. Systematic surveillance of the literature is ongoing.Results:In the period 2013–2017, use of TAVI in Québec was limited to very elderly patients with significant comorbidities at high risk of operative mortality. We observed improvements in both processes of care (e.g. documentation of risk scores) and clinical outcomes (e.g. 30-day and 1-year mortality) over time. Our consensus standards recognize the potential value of TAVI for patients at moderate operative risk, identify uncertainties and recommend best practices for patient evaluation and clinical decision-making about choice of treatment.Conclusions:A comprehensive, long-term evaluation process of TAVI with feedback to centers is associated with improvements in processes of care and outcomes. In the present context of expanding clinical indications, we will continue to evaluate patient selection, processes and outcomes according to the newly-established provincial quality standards. This iterative approach facilitates continued evidence generation and decision-making for optimal use of an evolving intervention. We acknowledge the contribution of the members of the expert clinical committee.

A comprehensive performance evaluation framework of complex products based on a fuzzy AHP and DS theory

2016 ◽  
Vol 07 (03) ◽  
pp. 1650020 ◽  
Author(s):  
Yuhong Li ◽  
Guanghong Gong ◽  
Ni Li
Keyword(s):  
Decision Making ◽  
Performance Evaluation ◽  
Group Decision Making ◽  
Group Decision ◽  
Evaluation Process ◽  
Small Sample ◽  
Evaluation Framework ◽  
Complex Products ◽  
Interactive Operation ◽  
Comprehensive Performance

With the development of computer technique, performance evaluation of complex products is playing an increasingly critical role in ensuring product quality and improving development process. An extensible comprehensive performance evaluation framework with the integration of effective group decision-making algorithms could be a supporting tool to achieve an efficient evaluation process and reduce comprehensive evaluation difficulty. This paper aims to provide a evaluation framework with friendly interactive operation and extensive expansibility, which adopts a multi-expert evaluation approach based on fuzzy, analytical hierarchy process (FAHP) and Dempstere–Shafer (DS) theory (FADS) in order to consider experts’ relative importance degree. In addition, an extensible evaluation process and related auxiliary functions are implemented in the framework, including the establishment of an assessment index system, integration and calls of multiple types of testing data preprocessing methods and index assessment methods suitable for small sample data, graphical result display and data analysis, etc. Finally, performance evaluation cases of two models of airborne radar anti-jamming are presented to verify the feasibility and expansibility of our assessment framework. The group decision-making method shows its effectiveness compared with the experimental evaluation results by the FAHP researched method.

A Modified Fuzzy Hierarchical TOPSIS Model for Hotel Website Evaluation

2014 ◽  
pp. 263-283
Author(s):  
Shanshan Qi ◽  
Rob Law ◽  
Dimitrios Buhalis
Keyword(s):  
Decision Making ◽  
Evaluation Criteria ◽  
Fuzzy Model ◽  
Critical Issue ◽  
Evaluation Framework ◽  
Fuzzy Decision Making ◽  
Website Evaluation ◽  
The Matrix ◽  
Hotel Websites ◽  
Topsis Model

The performance of commercial websites is a critical issue that has a significant effect on consumers' online decision-making. This study develops and applies a fuzzy model to assess the performance of hotel websites. It presents a fuzzy decision-making approach to the evaluation of tourism website performance that integrates consumer perceptions with a hierarchical model. The model consists of a fuzzy multi-criteria procedure that weighs evaluation criteria in a hierarchy structure and defuzzifies the matrix in a simpler and more accurate way. The study's findings include a new website usefulness evaluation framework and a newly developed fuzzy hierarchical TOPSIS model. The results from applying this model indicate that the functionality and usability dimensions are equally important for hotel websites. The ranking of hotel website performance is listed in terms of usefulness, functionality, and usability.

Benchmarking knowledge management practices in small and medium enterprises

2017 ◽  
Vol 24 (5) ◽  
pp. 1215-1233 ◽  
Author(s):  
Santoso Wibowo ◽  
Srimannarayana Grandhi
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Group Decision ◽  
Small And Medium Enterprises ◽  
Evaluation Criteria ◽  
Evaluation Process ◽  
Decision Makers ◽  
Content Type ◽  
Multicriteria Group Decision Making ◽  
Medium Enterprises

Purpose The purpose of this paper is to formulate the process of measuring and benchmarking the performance of knowledge management (KM) practices as a multicriteria group decision-making problem and present a new multicriteria group decision-making approach for effectively evaluating the performance of KM practices to meet the interests of various stakeholders in small and medium enterprises (SMEs). Design/methodology/approach A new multicriteria group decision-making approach is developed for evaluating the performance of KM practices of individual SMEs. Intuitionistic fuzzy numbers are used for representing the subjective assessments of decision makers in evaluating the relative importance of the evaluation criteria and the performance of individual KM practices with respect to specific evaluation criteria. A fuzzy multicriteria group decision-making algorithm is developed for measuring and benchmarking the performance of alternative KM practices. Findings The proposed multicriteria group decision-making approach is capable of effectively evaluating the performance of KM practices through adequately considering the presence of multiple decision makers, the multi-dimensional nature of the evaluation problem, and appropriately modeling the subjectiveness and imprecision of the evaluation process. The presentation of an example shows that the proposed fuzzy multicriteria group decision-making algorithm is simple to use and efficient in computation. Research limitations/implications The outcome of the multicriteria group decision-making approach is highly dependent on the inputs provided by the decision maker. Practical implications The novelty from this research lies in the utilization of a multicriteria group decision-making approach for evaluating the performance of KM practices in an organization. The outcome from the performance evaluation process allows the enterprise to adopt appropriate KM practices for achieving competitive advantages. Social implications The proposed multicriteria group decision-making approach has a significant social implication as it can be used as a decision-making tool for providing various decision makers in SMEs with useful and strategic information concerning the performance of KM practices in a given situation. Originality/value The originality of this paper lies in the development of the multicriteria group decision-making approach for effectively measuring and benchmarking the performance of KM practices of individual SMEs.

Determining Importance of Many-Objective Optimisation Competitive Algorithms Evaluation Criteria Based on a Novel Fuzzy-Weighted Zero-Inconsistency Method

2021 ◽  
pp. 1-47
Author(s):  
R. T. Mohammed ◽  
A. A. Zaidan ◽  
R. Yaakob ◽  
N. M. Sharef ◽  
R. H. Abdullah ◽  
...  
Keyword(s):  
Decision Making ◽  
Evaluation Studies ◽  
Evaluation Criteria ◽  
Evaluation Process ◽  
Primary Objective ◽  
Fuzzy Membership Function ◽  
Final Decision ◽  
Decision Matrix ◽  
Competitive Algorithms ◽  
Weight Coefficients

Along with the developments of numerous MaOO algorithms in the last decades, comparing the performance of MaOO algorithms with one another is also highly needed. Many studies have attempted to manipulate such comparison to analyze the performance quality of MaOO. In such cases, the weight of importance is critical for evaluating the performance of MaOO algorithms. All evaluation studies for MaOO algorithms have ignored to assign such weight for the target criteria during evaluation process, which plays a key role in the final decision results. Therefore, the weight value of each criterion must be determined to guarantee the accuracy of results in the evaluation process. Multicriteria decision-making (MCDM) methods are extremely preferred in solving weighting issues in the evaluation process of MaOO algorithms. Several studies in MCDM have proposed competitive weighting methods. However, these methods suffer from inconsistency issues arising from the high subjectivity of pairwise comparison. The inconsistency rate increases in an exorbitant manner when the number of criteria increases, and the final results are affected. The primary objective of this study is to propose a new method, called a Novel Fuzzy-Weighted Zero-Inconsistency (FWZIC) Method which can determine the weight coefficients of criteria with zero consistency. This method depends on differences in the preference of experts per criterion to compute its significance level in the decision-making process. The proposed FWZIC method comprises five phases for determining the weights of the evaluation criteria: (1) the set of evaluation criteria is explored and defined, (2) the structured expert judgement (SEJ) is used, (3) the expert decision matrix (EDM) is built on the basis of the crossover of criteria and SEJ, (4) a fuzzy membership function is applied to the result of the EDM and (5) the final values of the weight coefficients of the evaluation criteria are computed. The proposed method is applied to the evaluation criteria of MaOO competitive algorithms. The case study consists of more than 50 items distributed amongst the major criteria, subcriteria and indicators. The significant contribution of each item to the algorithm evaluation is determined. Results show that the criteria, subcriteria and their related indicators are weighted without inconsistency. The findings clearly show that the FWZIC method can deal with the inconsistency issue and provide accurate weight values to each criterion.

scholarly journals Selection of the General Contractor Using the AHP Method

2016 ◽  
Vol 62 (3) ◽  
pp. 105-116 ◽  
Author(s):  
M. Książek ◽  
P. Ciechowicz
Keyword(s):  
Decision Making ◽  
Paired Comparison ◽  
Evaluation Criteria ◽  
Selection Procedure ◽  
Ahp Method ◽  
Construction Companies ◽  
General Contractor ◽  
Weighting Coefficients ◽  
Selection Of

Abstract The topic of this paper is the description of the General Contractor Selection procedure using the AHP method. Another aim of this paper - within the scope of decision-making - is the determination of the potential General Contractor’s evaluation criteria and the selection of the best Bidder using the AHP method. We included the description of the conducted tender proceeding for the purpose of the procurement’s subject. As the decision-making options, we adopted four construction companies that submitted their bid. A key element of the studies was the paired comparison of all hierarchical structure elements. We estimated the local weighting coefficients and global priorities of particular decision-making options as well as analysed the vulnerabilities of the obtained results.

Novel Multi-Perspective Usability Evaluation Framework for Selection of Open Source Software Based on BWM and Group VIKOR Techniques

2021 ◽  
pp. 1-91
Author(s):  
Kareem A. Dawood ◽  
A. A. Zaidan ◽  
Khaironi Y. Sharif ◽  
Abdul A. Ghani ◽  
H. Zulzalil ◽  
...  
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Open Source Software ◽  
Software Package ◽  
Group Decision ◽  
Evaluation Criteria ◽  
Usability Evaluation ◽  
Evaluation Framework ◽  
Software Packages ◽  
Selection Of

Increasing demand for open-source software (OSS) has raised the value of efficient selection in terms of quality; usability is an essential quality factor that significantly affects system acceptability and sustainability. Most large and complex software packages partitioned across multiple portals and involve many users — each with their role in the software package; those users have different perspectives on the software package, defined by their knowledge, responsibilities, and commitments. Thus, a multi-perspective approach has been used in usability evaluation to overcome the challenge of inconsistency between users’ perspectives; the inconsistency challenge would lead to an ill-advised decision on the selection of a suitable OSS. This study aimed to assist the public and private organizations in evaluating and selecting the most suitable OSS. The evaluation of the OSS software packages to choose the best one is a challenging task owing to (a) multiple evaluation criteria, (b) criteria importance, and (c) data variation; thus, it is considered a sophisticated multi-criteria decision making (MCDM) problem; moreover, the multi-perspective usability evaluation framework for OSS selection lacks in the current literature. Hence, this study proposes a novel multi-perspective usability evaluation framework for the selection of OSS based on the multi-criteria analysis. Integration of best-worst method (BWM) and VIKOR MCDM techniques has been used for weighting and ranking OSS alternatives. BWM is utilized for weighting of evaluation criteria, whereas VIKOR is applied to rank OSS-LMS alternatives. Individual and group decision-making contexts, and the internal and external groups aggregation were used to demonstrate the efficiency of the proposed framework. A well-organized algorithmic procedure is presented in detail, and a case study was examined to illustrate the validity and feasibility of the proposed framework. The results demonstrated that BWM and VIKOR integration works effectively to solve the OSS software package benchmarking/selection problems. Furthermore, the ranks of OSS software packages obtained from the VIKOR internal and external group decision making were similar; the best OSS-LMS based on the two ways was ‘Moodle’ software package. Among the scores of groups in the objective validation, significant differences were identified; this indicated that the ranking results of internal and external VIKOR group decision making were valid, which pointed to the validation of the framework.

A Modified Fuzzy Hierarchical TOPSIS Model for Hotel Website Evaluation

2013 ◽  
Vol 3 (3) ◽  
pp. 82-101 ◽  
Author(s):  
Shanshan Qi ◽  
Rob Law ◽  
Dimitrios Buhalis
Keyword(s):  
Decision Making ◽  
Evaluation Criteria ◽  
Fuzzy Model ◽  
Critical Issue ◽  
Evaluation Framework ◽  
Fuzzy Decision Making ◽  
Website Evaluation ◽  
The Matrix ◽  
Hotel Websites ◽  
Topsis Model

The performance of commercial websites is a critical issue that has a significant effect on consumers’ online decision-making. This study develops and applies a fuzzy model to assess the performance of hotel websites. It presents a fuzzy decision-making approach to the evaluation of tourism website performance that integrates consumer perceptions with a hierarchical model. The model consists of a fuzzy multi-criteria procedure that weighs evaluation criteria in a hierarchy structure and defuzzifies the matrix in a simpler and more accurate way. The study’s findings include a new website usefulness evaluation framework and a newly developed fuzzy hierarchical TOPSIS model. The results from applying this model indicate that the functionality and usability dimensions are equally important for hotel websites. The ranking of hotel website performance is listed in terms of usefulness, functionality, and usability.

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